Robustness for Adversarial ⍴≥1 Perturbations

NeurIPS 2019 Workshop on Machine Learning with Guarantees

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Bibliographic Details
Main Authors:	JAY NANDY, HSU,WYNNE, LEE MONG LI,JANICE
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Conference or Workshop Item
Published:	2020
Subjects:	Robustness Deep learning Image classification
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/166726
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-166726
record_format	dspace
spelling	sg-nus-scholar.10635-1667262024-04-25T06:17:57Z Robustness for Adversarial ⍴≥1 Perturbations JAY NANDY HSU,WYNNE LEE MONG LI,JANICE DEPARTMENT OF COMPUTER SCIENCE Robustness Deep learning Image classification NeurIPS 2019 Workshop on Machine Learning with Guarantees 2020-04-20T07:31:43Z 2020-04-20T07:31:43Z 2019-12-14 Conference Paper JAY NANDY, HSU,WYNNE, LEE MONG LI,JANICE (2019-12-14). Robustness for Adversarial ⍴≥1 Perturbations. NeurIPS 2019 Workshop on Machine Learning with Guarantees. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/166726 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Robustness Deep learning Image classification
spellingShingle	Robustness Deep learning Image classification JAY NANDY HSU,WYNNE LEE MONG LI,JANICE Robustness for Adversarial ⍴≥1 Perturbations
description	NeurIPS 2019 Workshop on Machine Learning with Guarantees
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE JAY NANDY HSU,WYNNE LEE MONG LI,JANICE
format	Conference or Workshop Item
author	JAY NANDY HSU,WYNNE LEE MONG LI,JANICE
author_sort	JAY NANDY
title	Robustness for Adversarial ⍴≥1 Perturbations
title_short	Robustness for Adversarial ⍴≥1 Perturbations
title_full	Robustness for Adversarial ⍴≥1 Perturbations
title_fullStr	Robustness for Adversarial ⍴≥1 Perturbations
title_full_unstemmed	Robustness for Adversarial ⍴≥1 Perturbations
title_sort	robustness for adversarial ⍴≥1 perturbations
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/166726
_version_	1800913946952073216

Robustness for Adversarial ⍴≥1 Perturbations

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